Databricks vs MicroStrategy comparison

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Databricks Logo
28,975 views|18,474 comparisons
96% willing to recommend
MicroStrategy Logo
7,327 views|4,856 comparisons
93% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Databricks and MicroStrategy based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
768,578 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform.""It is a cost-effective solution.""The solution offers a free community version.""The most valuable feature of Databricks is the notebook, data factory, and ease of use.""Databricks' most valuable feature is the data transformation through PySpark.""The setup is quite easy.""Databricks is a scalable solution. It is the largest advantage of the solution.""Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."

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"The simplicity of MicroStrategy is what I like the most.""The usability for users to be able to drag and drop, then create their own reports.""Dossiers are going to change the name of the game for us. We want to be able to have the executive committee go into a meeting and tell a story. We want them to tell us a story, not us.""Speed for high level aggregation by using Intelligent Cubes.""It is easy to use and visually very appealing. One thing that sets it apart is that it has got a great ETL tool. As compared to some of the other solutions, it is much easier to process data from other applications in MicroStrategy. That's why we prefer using it.""I have never had any problems with the stability.""We've made a few enhancements to our Enterprise Manager system to allow self-reporting to grow. We see that as a very useful system. It's been incredibly beneficial in diagnosing production performance issues, diagnosing what reports are running slowly, where the SQL could be optimized, opportunities or metrics where we see long-time running performance. Enterprise Manager has been absolutely vital in giving us some of the insights about our system.""You can build once and deploy to multiple operating systems. Also, it resizes in the way you want it to​."

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Cons
"Implementation of Databricks is still very code heavy.""There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable.""The solution has some scalability and integration limitations when consolidating legacy systems.""The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well.""The product cannot be integrated with a popular coding IDE.""I believe that this product could be improved by becoming more user-friendly.""Anyone who doesn't know SQL may find the product difficult to work with.""Databricks could improve in some of its functionality."

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"Its price should be lower. In terms of features, what we have is quite encompassing right now.""Sometimes, it has become too complex to upgrade and adjust to the ecosystem.​""Our users tend to say the interface is a pain.""Consolidate the functional offering to be more concise in the front-end for web reports, dashboards, and self-service.""The online community page of the product is an area of concern where improvements are required.""The graphs available for the new dashboard of version 10 are weak.""They need to do a better job In its ability to allow end users to produce their own reports, metrics, and self-service business intelligence.""I would try to make it a little more basic, user-friendly. In terms of the UX, it's a bit sluggish there."

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Pricing and Cost Advice
  • "Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
  • "I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
  • "Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
  • "We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
  • "The pricing depends on the usage itself."
  • "I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
  • "The price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • More Databricks Pricing and Cost Advice →

  • "They made a change in the licensing module some time ago and we can now use all the enterprise tools for free."
  • "The pricing for MicroStrategy is always on the higher side. They should seriously start thinking about their pricing and licensing strategy."
  • "While initial cost of MicroStrategy is still on the higher side, the long-term benefits brings down overall cost of ownership significantly as compared to other tools like Tableau/Cognos."
  • "The price was good. We have had great support along the way."
  • "We actually researched some of the other solutions. For options, price, and customer acceptance, this product has worked well for us.​"
  • "​They gave us a good deal.​"
  • "There have been actual direct bottomline impacts in terms of extra revenue created from the reporting solutions."
  • "They need to work on their license structure. They are not competitive against somebody like SAP BusinessObjects. We had a quote that was almost a third the price, coming from SAP BusinessObjects, and it's not a better platform. It's not cheaper. They do concurrent user licensing, while MicroStrategy does named user licensing, and that was literally the only difference. But it made a $500,000 difference. They've got to do something to make themselves more competitive. Maybe it's assessing your business users and what you really expect them to use, and maybe giving a reduced price on that. But they are already giving us a 60% discount and they were still a million or so above, over a three-year time period. That doesn't account for synergies as we get from on-site resources that are already available, but I thought that that was a big, big deficit for them."
  • More MicroStrategy Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts use to create and share insights. It is also the tool of choice for rapid prototyping of dashboards. Tableau is very flexible with its data import. Tableau's data blending capability is very intuitive. This capability is useful when you have data spread across several different sources that has not gone through ETL processes. This is a problem analysts deal with routinely. They are unable to wait for the data warehouse team to develop ETL processes to provide the physical models they need to build an analysis. The Tableau interface is Excel-like and has a low barrier to entry for analysts that are used to working in Excel. Building a dashboard by mashing up visualizations in a Tableau worksheet is extremely simple. Users are able to build good presentation-quality dashboards in a very short amount time. Tableau's annotations capabilities and its time and geographical intelligence are key differentiators. Tableau has overcome limitations in data sharing with the introduction of a Data Server in Tableau 7.0. The Data server allows Data sources and extracts to be shared securely and opens up interesting new possibilities. If your application can take advantage of the above… Read more →
    Questions from the Community
    Top Answer:Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
    Top Answer:We researched AWS SageMaker, but in the end, we chose Databricks Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
    Top Answer:Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
    Top Answer:The stability of the product is good.
    Top Answer:MicroStrategy's licensing cost is higher than that of other tools in the market. My company uses the enterprise edition of the product. For beginners, there are trial accounts that are provided by the… more »
    Top Answer:For everything we do in our company, we consider MicroStrategy to be a workaround solution. For better customization in documents or dashboards, MicroStrategy can improve the features or settings… more »
    Ranking
    1st
    Views
    28,975
    Comparisons
    18,474
    Reviews
    47
    Average Words per Review
    441
    Rating
    8.3
    Views
    7,327
    Comparisons
    4,856
    Reviews
    12
    Average Words per Review
    568
    Rating
    7.5
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Learn More
    Overview

    Databricks is an industry-leading data analytics platform which is a one-stop product for all data requirements. Databricks is made by the creators of Apache Spark, Delta Lake, ML Flow, and Koalas. It builds on these technologies to deliver a true lakehouse data architecture, making it a robust platform that is reliable, scalable, and fast. Databricks speeds up innovations by synthesizing storage, engineering, business operations, security, and data science.

    Databricks is integrated with Microsoft Azure, Amazon Web Services, and Google Cloud Platform. This enables users to easily manage a colossal amount of data and to continuously train and deploy machine learning models for AI applications. The platform handles all analytic deployments, ranging from ETL to models training and deployment.

    Databricks deciphers the complexities of processing data to empower data scientists, engineers, and analysts with a simple collaborative environment to run interactive and scheduled data analysis workloads. The program takes advantage of AI’s cost-effectivity, flexibility, and cloud storage.

    Databricks Key Features

    Some of Databricks key features include:

    • Cloud-native: Works well on any prominent cloud provider.
    • Data storage: Stores a broad range of data, including structured, unstructured, and streaming.
    • Self-governance: Built-in governance and security controls.
    • Flexibility: Flexible for small-scale jobs as well as running large-scale jobs like Big Data processing because it’s built from Spark and is specifically optimized for Cloud environments.
    • Data science tools: Production-ready data tooling, from engineering to BI, AI, and ML.
    • Familiar languages: While Databricks is Spark-based, it allows commonly used programming languages like R, SQL, Scala, and Python to be used.
    • Team sharing workspaces: Creates an environment that provides interactive workspaces for collaboration, which allow multiple members to collaborate for data model creation, machine learning, and data extraction.
    • Data source: Performs limitless Big Data analytics by connecting to Cloud providers AWS, Azure, and Google, as well as on-premises SQL servers, JSON and CSV.

    Reviews from Real Users

    Databricks stands out from its competitors for several reasons. Two striking features are its collaborative ability and its ability to streamline multiple programming languages.

    PeerSpot users take note of the advantages of these features. A Chief Research Officer in consumer goods writes, “We work with multiple people on notebooks and it enables us to work collaboratively in an easy way without having to worry about the infrastructure. I think the solution is very intuitive, very easy to use. And that's what you pay for.”

    A business intelligence coordinator in construction notes, “The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes.”

    An Associate Manager who works in consultancy mentions, “The technology that allows us to write scripts within the solution is extremely beneficial. If I was, for example, able to script in SQL, R, Scala, Apache Spark, or Python, I would be able to use my knowledge to make a script in this solution. It is very user-friendly and you can also process the records and validation point of view. The ability to migrate from one environment to another is useful.”

    Company: Founded in 1989, MicroStrategy (Nasdaq: MSTR) is a leading worldwide provider of enterprise software platforms. With direct operations in 26 countries worldwide and approximately 2,000 employees, our mission is to provide enterprise analytics, mobility, and security platforms that are flexible, powerful, scalable and user-friendly. To learn more, visit MicroStrategy online, and follow us on Facebook and Twitter.

    Product portfoilio:

    MicroStrategy 10 Secure Enterprise™ empowers leading organizations to analyze vast amounts of data and distribute actionable business insight throughout an enterprise through two distinct offerings: MicroStrategy Analytics™ and MicroStrategy Desktop™. MicroStrategy Analytics delivers reports and dashboards, and enables users to conduct ad hoc analysis and share insights anywhere, anytime, via mobile devices or the Web. It also combines the agility and productivity of self-service visual data discovery with the security, scalability, and governance features of enterprise-grade business intelligence. MicroStrategy Desktop is a standalone, on-premise visual data discovery tool designed to enable business users to analyze and understand their data. MicroStrategy Mobile™ enables organizations to rapidly build custom business applications that deliver analytics combined with transactions, multimedia, and custom workflows to mobile devices. MicroStrategy Secure Cloud™ combines all of the enterprise analytics, mobile, and security features in MicroStrategy 10 Secure Enterprise with powerful and scalable data integration, validation, and warehousing services — all delivered in an environment where organizations can deploy transformational analytics applications in minutes.

    Usher, MicroStrategy’s breakthrough security solution, is a powerful mobile security platform designed to dematerialize traditional forms of identity verification (such as passwords, tokens, and physical badges) and replace them with a single mobile identity badge that is cryptographically linked to its owner’s smartphone and dynamically linked to an enterprise’s existing identity repositories. Usher works on standard Android and iOS smartphones, and also boasts an Apple Watch™ integration.

    Sample Customers
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    Allstate Insurance, Barneys New York, Boston Children's Hospital, Buenos Aires Department of the Treasury, Campbell Soup Company, DHL, eBay, eHarmony, Facebook, Four Seasons Hotels Inc., Godiva, Hard Rock International, LinkedIn, Netflix, Pfizer, SECO (Swiss Government Unemployment Agency), Starbucks, Texas A&M University, Thomson Reuters Markets, US House of Representatives, and the US Postal Service.
    Top Industries
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm16%
    Retailer9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Manufacturing Company8%
    Healthcare Company6%
    REVIEWERS
    Financial Services Firm15%
    Healthcare Company13%
    Retailer11%
    Computer Software Company7%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company11%
    Retailer9%
    Insurance Company6%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business22%
    Midsize Enterprise17%
    Large Enterprise62%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    768,578 professionals have used our research since 2012.

    Databricks is ranked 1st in Data Science Platforms with 78 reviews while MicroStrategy is ranked 9th in BI (Business Intelligence) Tools with 155 reviews. Databricks is rated 8.2, while MicroStrategy is rated 8.2. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of MicroStrategy writes "A robust solution for powerful data analytics". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas MicroStrategy is most compared with Microsoft Power BI, Tableau, IBM Cognos, SAP BusinessObjects Business Intelligence Platform and QlikView.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.